Rate My Professor George Shaw

Shaw's research focuses on the intersection of computational social science, data science, social media, and public health, utilizing data mining, text mining, sentiment analysis, and mixed-methods frameworks to analyze unstructured data for insights into chronic health conditions, obesity, health literacy, health communication, and behavioral patterns. His work leverages social media as a novel data source to inform public health interventions and policies. He teaches courses such as Introduction to Health Informatics (HCIP 6380) and Business Intelligence in Healthcare (HCIP 6396). Shaw has earned notable awards, including the NIH Obesity Health Disparities PRIDE Fellowship (2021 cohort), UNC Charlotte Catalyst Fellowship (2019 cohort), Gambrell Faculty Fellowship (2019 cohort), and Robert V. Williams SLIS Student Research Award (2018). Key publications encompass “Recommender systems use in weight management mHealth interventions: A scoping review” (2024), “The Evidence Alone Was Not Enough to Change Practice: A Mixed-methods Analysis Using a Standardized Framework to Understand Perceptions of Barriers and Compliance to ERAS Recommendations” (2025), “Identifying Long COVID Definitions, Predictors, and Risk Factors in the United States: A Scoping Review of Data Sources Utilizing Electronic Health Records” (2024), “Enhanced Recovery after Surgery recommendations that most impact patient care: A multi-institutional, multidiscipline analysis in the United States” (2024), and “If we can do it, anyone can!: Evaluating a virtual ‘Paper Chase’ collaborative writing model for rapid research dissemination” (2022). With over 500 citations, his scholarship significantly impacts health informatics and public health analytics.